Academic literature on the topic 'Weakly supervised classifier'
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Journal articles on the topic "Weakly supervised classifier"
Jager, M., C. Knoll, and F. A. Hamprecht. "Weakly Supervised Learning of a Classifier for Unusual Event Detection." IEEE Transactions on Image Processing 17, no. 9 (September 2008): 1700–1708. http://dx.doi.org/10.1109/tip.2008.2001043.
Full textWang, Mo, Jing Wang, and Li Chen. "Mapping Paddy Rice Using Weakly Supervised Long Short-Term Memory Network with Time Series Sentinel Optical and SAR Images." Agriculture 10, no. 10 (October 19, 2020): 483. http://dx.doi.org/10.3390/agriculture10100483.
Full textLi Min, Song Yu,, Du Weidong, He Yujie, Gou Yao, Wu Zhaoqing, and Lv Yilong. "Strong Representation Learning for Weakly Supervised Object Detection." International Journal of Engineering and Computer Science 11, no. 02 (February 1, 2022): 25493–507. http://dx.doi.org/10.18535/ijecs/v11i02.4650.
Full textHsu, Kuang-Jui, Yen-Yu Lin, and Yung-Yu Chuang. "Weakly Supervised Salient Object Detection by Learning A Classifier-Driven Map Generator." IEEE Transactions on Image Processing 28, no. 11 (November 2019): 5435–49. http://dx.doi.org/10.1109/tip.2019.2917224.
Full textChoqueluque-Roman, David, and Guillermo Camara-Chavez. "Weakly Supervised Violence Detection in Surveillance Video." Sensors 22, no. 12 (June 14, 2022): 4502. http://dx.doi.org/10.3390/s22124502.
Full textWang, Jue, Ke Chen, Lidan Shou, Sai Wu, and Gang Chen. "Effective Slot Filling via Weakly-Supervised Dual-Model Learning." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 16 (May 18, 2021): 13952–60. http://dx.doi.org/10.1609/aaai.v35i16.17643.
Full textKim, Beomyoung, Sangeun Han, and Junmo Kim. "Discriminative Region Suppression for Weakly-Supervised Semantic Segmentation." Proceedings of the AAAI Conference on Artificial Intelligence 35, no. 2 (May 18, 2021): 1754–61. http://dx.doi.org/10.1609/aaai.v35i2.16269.
Full textTai, Chang-Yu, Ming-Yao Li, and Lun-Wei Ku. "Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction." Proceedings of the AAAI Conference on Artificial Intelligence 36, no. 10 (June 28, 2022): 11358–66. http://dx.doi.org/10.1609/aaai.v36i10.21387.
Full textSun, Hao, Xuyun Fu, and Shisheng Zhong. "A Weakly Supervised Gas-Path Anomaly Detection Method for Civil Aero-Engines Based on Mapping Relationship Mining of Gas-Path Parameters and Improved Density Peak Clustering." Sensors 21, no. 13 (July 1, 2021): 4526. http://dx.doi.org/10.3390/s21134526.
Full textGuinard, S., and L. Landrieu. "WEAKLY SUPERVISED SEGMENTATION-AIDED CLASSIFICATION OF URBAN SCENES FROM 3D LIDAR POINT CLOUDS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1/W1 (May 31, 2017): 151–57. http://dx.doi.org/10.5194/isprs-archives-xlii-1-w1-151-2017.
Full textBook chapters on the topic "Weakly supervised classifier"
Chen, Hanbo, Xiao Han, Xinjuan Fan, Xiaoying Lou, Hailing Liu, Junzhou Huang, and Jianhua Yao. "Rectified Cross-Entropy and Upper Transition Loss for Weakly Supervised Whole Slide Image Classifier." In Lecture Notes in Computer Science, 351–59. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-32239-7_39.
Full textTang, Xiaoyu, Wei Ou, and Van-Nam Huynh. "Averaged Logits: An Weakly-Supervised Approach to Use Ratings to Train Sentence-Level Sentiment Classifiers." In Lecture Notes in Computer Science, 308–19. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-14815-7_26.
Full textConference papers on the topic "Weakly supervised classifier"
Cholakkal, Hisham, Jubin Johnson, and Deepu Rajan. "Backtracking ScSPM Image Classifier for Weakly Supervised Top-Down Saliency." In 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE, 2016. http://dx.doi.org/10.1109/cvpr.2016.570.
Full textTaherkhani, Fariborz, Hadi Kazemi, Ali Dabouei, Jeremy Dawson, and Nasser Nasrabadi. "A Weakly Supervised Fine Label Classifier Enhanced by Coarse Supervision." In 2019 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2019. http://dx.doi.org/10.1109/iccv.2019.00656.
Full textBae, Wonho, Junhyug Noh, Milad Jalali Asadabadi, and Danica J. Sutherland. "One Weird Trick to Improve Your Semi-Weakly Supervised Semantic Segmentation Model." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. California: International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/389.
Full textDu, Peilun, Haitao Zhang, and Huadong Ma. "Classifier Refinement for Weakly Supervised Object Detection with Class-Specific Activation Map." In 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 2019. http://dx.doi.org/10.1109/icip.2019.8803672.
Full textSiddiqua, Umme Aymun, Tanveer Ahsan, and Abu Nowshed Chy. "Combining a rule-based classifier with weakly supervised learning for twitter sentiment analysis." In 2016 International Conference on Innovations in Science, Engineering and Technology (ICISET). IEEE, 2016. http://dx.doi.org/10.1109/iciset.2016.7856499.
Full textKweon, Hyeokjun, Sung-Hoon Yoon, Hyeonseong Kim, Daehee Park, and Kuk-Jin Yoon. "Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation." In 2021 IEEE/CVF International Conference on Computer Vision (ICCV). IEEE, 2021. http://dx.doi.org/10.1109/iccv48922.2021.00691.
Full textLiu, Lu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, and Chengqi Zhang. "Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/418.
Full textChang, Shizhen, Bo Du, and Liangpei Zhang. "Positive Unlabeled Learning with Class-prior Approximation." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/279.
Full textShinoda, Kazuhiko, Hirotaka Kaji, and Masashi Sugiyama. "Binary Classification from Positive Data with Skewed Confidence." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/460.
Full textGirla, Ionut-Alexandru, and Victor-Emil Neagoe. "A Weakly-Supervised Change Detection for Multispectral Earth Observation Imagery using a Long Short- Term Memory Classifier with a Virtual Training Data Neural Generator." In 2022 14th International Conference on Communications (COMM). IEEE, 2022. http://dx.doi.org/10.1109/comm54429.2022.9817344.
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